ExLibris header image
SFX Logo
Title: A novel combined MPPT-pitch angle control for wide range variable speed wind turbine based on neural network
Source:

International Journal of Hydrogen Energy [0360-3199] Dahbi, Abdeldjalil yr:2016


Collapse list of basic services Basic
Sorry, no full text available...
Please use the document delivery service (see below)  
Holding information
Holdings in library search engine ALBERT GO
Document delivery
Request document via Library/Bibliothek GO
Users interested in this article also expressed an interest in the following:
1. "A Novel Flower Pollination Based Global Maximum Power Point Method for Solar Maximum Power Point Tracking." IEEE transactions on power electronics 32.11: 8486-8499. Link to SFX for this item
2. "Analytic neural network model of a wind turbine." Soft computing a fusion of foundations, methodologies and applications. 19.12: 3455-3463. Link to SFX for this item
3. "A solar maximum power point tracking algorithm based on discrete-time ripple correlation control." 农业工程学报/#/農業工程學報 [[nong ye gong cheng xue bao]] 29.19: 130-137. Link to SFX for this item
4. de Jesús Rubio, J. "Interpolation neural network model of a manufactured wind turbine." Neural computing & applications 28.8: 2017-2028. Link to SFX for this item
5. Rong, F. "A Novel Grid-Connected PV System Based on MMC to Get the Maximum Power Under Partial Shading Conditions." IEEE Transactions on Power Electronics 32.6 (2017): 4320-4333. Link to SFX for this item
6. Karakuş, F. "Estimating the energy production of the wind turbine using artificial neural network." Neural Computing and Applications 27.5 (2016): 1231-1244. Link to SFX for this item
7. Lyden, S. "A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions." IEEE Transactions on Power Electronics 31.6 (2016): 4171-4181. Link to SFX for this item
Select All Clear All

Expand list of advanced services Advanced